AI UX toolbox
Practical tools, frameworks, and guides to help you lead AI UX transformation
This toolbox is designed for UX leaders, researchers, and cross-functional teams navigating the shift from traditional UX to AI-integrated systems. Whether you're assessing your team's readiness, adapting your research methods, or building flexible, trustworthy AI experiences—this is where theory meets action.
Explore diagnostic assessments, research protocols, design templates, and collaboration models—all grounded in the Four Shifts of AI UX. Each tool is paired with articles that provide strategic context and real-world guidance to help you make AI UX work in practice.
This is a living toolkit, built with and for the community—your feedback, use cases, and insights will shape what comes next.
FOUNDATIONS & STRATEGIC FRAMEWORKS
→ Build shared language, vision, and readiness

AI UX maturity model: The five levels of AI UX
Assess where your organization stands in its AI UX journey and identify practical next steps. This model maps the progression from traditional UX to transformative AI experiences.
STRATEGY | FRAMEWORK

AI UX maturity assessment
Measure your team's current level of AI UX maturity. This tool helps identify strengths, gaps, and actionable steps across strategy, research, design, and collaboration.
MATURITY | ASSESSEMENT
ORGANIZATIONAL READINESS & LEADERSHIP

AI implementation that works: The organizational foundations of successful transformation
Discover the leadership, process, and team structures that enable AI to deliver tangible business outcomes. This article outlines the organizational foundations necessary for AI success.
LEADERSHIP | ALIGNMENT

Retooling vs. Retrofitting: Elevating UX from interface design to strategic partner
UX must evolve from a downstream function to a strategic partner in AI development. Learn how UX professionals can help organizations navigate AI's complexity and build user trust.
LEADERSHIP | ALIGNMENT
FOUNDATIONS & STRATEGIC FRAMEWORKS
→ Build shared language, vision, and readiness

A pragmatic approach to AI
LEADERSHIP | AI UX STRATEGY

AI UX Maturity Mapping Template
Visualize your team’s progression across the five stages of AI UX maturity
TOOLKIT | CHECKLIST

The Four Shifts of AI UX: A framework for systemic design transformation
A comprehensive framework to implement AI UX
LEADERSHIP | AI UX STRATEGY

The AI UX Pitfall Checklist: Validating Experiences Before Launch
Practical tool for pre-launch evaluation of AI experiences
TOOLKIT | CHECKLIST

AI UX maturity model: The five levels of AI UX maturity
AI UX maturity model built on the 4 shifts
UX MATURITY | MATURITY ASSESSMENT
ORGANIZATION READINESS & LEADERSHIP

The UX Leader's 90-Day Plan for AI Transformation
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TOOLKIT | CHECKLIST

Cross-functional collaboration model
Ready-to-use templates, assessment tools, and methodologies
TOOLKIT | CHECKLIST

Building the AI UX playbook for your org
Organizational design for effective AI UX
TOOLKIT | CHECKLIST
DESIGNING & TESTING AI EXPERIENCES

From static to adaptive design
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TOOLKIT | CHECKLIST

Research Protocol Template for AI Systems
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UX RESEARCH | WORKFLOWS

AI UX Testing Checklist
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TOOLKIT | CHECKLIST
What's coming?
These tools and frameworks are currently in development. Each is designed to help you deepen your practice across the Four Shifts of AI UX.
By making these visible now, we invite feedback, collaboration, and curiosity as the toolbox grows.
Want early access or to shape these tools?
Let us know—your feedback directly informs how these resources evolve.
COMING SOON

Confidence Indicator UI examples
Design reference patterns for communicating system uncertainty and AI confidence scores
LEADERSHIP | AI UX

Workshop Kit: The Four shifts in practice
Run an internal team session to activate thinking across strategy, design, research, and collaboration
LEADERSHIP | AI UX

Error state design patterns for probabilistic systems
Guidelines for designing adaptive error messages when AI gets it wrong—or isn’t sure
UX RESEARCH | WORKFLOWS

Shared metrics canvas (UX + ML)
Align performance goals across UX, product, and data science teams
LEADERSHIP | AI UX
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